首页> 外文期刊>Journal of Electromagnetic Analysis and Applications >Far-Field Pattern Reconstruction from Positioning Errors Affected Near-Field Data Acquired via Helicoidal Scanning
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Far-Field Pattern Reconstruction from Positioning Errors Affected Near-Field Data Acquired via Helicoidal Scanning

机译:通过影响螺旋扫描获得的近场数据的定位误差进行远场模式重构

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In this paper, an effective technique to compensate the positioning errors in a near-field—far-field (NF-FF) transformation with helicoidal scanning for elongated antennas is presented and validated both numerically and experimentally. It relies on a nonredundant sampling representation of the voltage measured by the probe, obtained by considering the antenna as enclosed in a cylinder ended in two half-spheres. An iterative scheme is used to reconstruct the helicoidal NF data at the points fixed by the representation from the acquired irregularly spaced ones. Once the helicoidal data have been retrieved, those needed by a classical NF-FF transformation with cylindrical scanning are efficiently evaluated by using an optimal sampling interpolation algorithm. Some numerical tests, assessing the accuracy of the approach and its stability with respect to random errors affecting the data, are reported. Experimental tests performed at the Antenna Characterization Lab of the University of Salerno further confirm the validity of the proposed technique.
机译:在本文中,提出了一种有效的技术,该技术通过对细长天线进行螺旋扫描来补偿近场-远场(NF-FF)变换中的定位误差,并在数值和实验上进行了验证。它依赖于探针测得的电压的非冗余采样表示,该采样是通过将天线封装在两个半球形的圆柱体中而获得的。迭代方案用于从获取的不规则间隔数据中重建由表示固定的点上的螺旋NF数据。一旦检索到螺旋数据,就可以通过使用最佳采样插值算法有效地评估具有圆柱扫描的经典NF-FF变换所需的数据。报告了一些数值测试,评估了该方法的准确性及其针对影响数据的随机误差的稳定性。在萨勒诺大学天线表征实验室进行的实验测试进一步证实了该技术的有效性。

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